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state_estimator
- 关于电力系统状态估计的MATLAB的源程序，敬请参考，不负侵权责任
NN+GA
- 1,改进BP神经网络在股市预测中的应用.2,基于MATLAB工具箱的开采煤层自燃危险性预测.3,基于改进的神经网络的电力系统负荷预报.4,基于神经网络的灌溉用水量预测.5,基于遗传算法改进BP网络的地表沉陷预计.6,利用遗传算法改进BP学习算法.7,模糊神经网络在电力市场短期负荷预测中的应用.8,神经网络学习算法存在的问题及对策.9,遗传神经网络在电力系统短期负荷预测中的应用.10,应用改进BP神经网络进行用水量预测.11,用遗传算法改进的BP模型在刹车系统诊断中的应用研究.12,遗传算法改进的
扩展Kalman滤波(UKF)算法的Matlab程序
- 扩展Kalman滤波器算法的例程，可以用于对非线性系统的目标状态进行动态估计。例如曲线运动目标的轨迹跟踪。
FDISIRsmoothedresidual
- 基于粒子滤波的故障检测，使用状态估计和残差平滑的方法-Particle filter-based fault detection, the use of state estimation and residual smoothing method
kalmanfuzzy
- 基于T-s模糊模型用于估计非线性系统的状态的kalman滤波器。-Ts-based fuzzy model used to estimate the state of nonlinear systems kalman filter.
kalmanfilter
- 一种改进的自适应滤波器的状态估计，效果非常之好,是用MATLAB编写的，直接在matlab下运行就可以看到完美的滤波效果，自适应算法是sage—husa算法，较传统的滤波器有很大提高-An improved adaptive filter state estimation, the effect is definitely a good thing, is to use MATLAB prepared directly in matlab run will be able to see the
numerical_analysis_homework
- (有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的
a
- 关于电力系统状态估计快速分解算法的MATLAB程序-Power system state estimation algorithm for the rapid decomposition
AddHinfConstr
- MATLAB的M语言编写，用于解决机器追踪的问题。机器状态估计由minimax滤波器完成。-This m-file simulates a vehicle tracking problem.The vehicle state is estimated with a minimax filter.In addition,with the a priori knowledge that the vehicle is on a particular road, the vehicle stat
matpower4.0b1
- MATPOWER软件包的最新版本，包含连续潮流（CPF）和状态估计（SE），对研究电力系统很有帮助。-MATPOWER is a package of Matlab M-files for solving power flow and optimal power flow problems. It is intended as a simulation tool for researchers and educators that is easy to use and modify. MATPO
xindaoguji
- 利用卡尔曼滤波器进行信道估计 提示：信道估计的状态方程和测量方程可分别表示为 要求：给出信道均方误差随样本数增加的曲线，给出matlab程序及具体的估计过程。 -Use of Kalman filter channel estimation Tip: the state of the channel estimation and measurement equations could be specified as required: given the channe
busexample
- 该程序模拟了一个39节点的电力系统线性状态估计，并假设每个节点都安装pmu装置。-The program simulates a 39 node linear power system state estimation, and assuming that each node installation pmu device.
power system state .zip
- 电力系统状态估计的MATLAB的源程序，用于在线辨识，完善优化(MATLAB power system state estimation the source program of.)
distributed power system .zip
- MATLAB分布式电力系统状态估计完整程序.用于分布式光伏电站并网(MATLAB distributed power system state estimation complete program for distributed photovoltaic power station grid connected)
UKF
- UKF算法搭建simulink平台 用于汽车状态估计(UKF algorithm to build Simulink platform for vehicle state estimation)
NoteExp
- 实现移动机器人匀速运动模型下，基于UKF方法的移动机器人状态实时估计。(Real time estimation of the state of the mobile robot based on UKF method is realized under the uniform motion model of the mobile robot.)
EXP1
- 通过MATLAB仿真，实现了线性系统，多采样速率下移动机器人的状态估计(Through MATLAB simulation, the state estimation of a mobile robot with linear system and multi sampling rate is realized.)
目标定位
- 研究目标跟踪的状态估计方法，最小二乘估计，Kalman滤波，扩展Kalman滤波，无迹Kalman滤波以及粒子滤波等，理论及MATLAB源程序。(The state estimation methods of target tracking, least square estimation, Kalman filtering, extended Kalman filtering, unscented Kalman filtering and particle filtering, theory
ukf_bicycle-matlab
- 基于UKF的自行车状态估计matlab程序实现(Realization of Bicycle State Estimation Based on UKF with MATLAB Program)
matlab程序
- 主要功能： 1.完成传感器对目标状态的kalman滤波估计； 2.对传感器的状态估计进行SCC和CI融合； 3.画出位置及速度的估计和融合误差曲线、真实航迹及融合后航迹、K=1时刻的协方差椭圆(Main functions: 1. The Kalman filter estimation of the target state is completed; 2. The state estimation of sensors is fused by SCC and CI; 3. Draw the